zero-to-forge-intro

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Zero to TorchForge: From RL Theory to Production-Scale Implementation

A comprehensive guide for ML Engineers building distributed RL systems for language models.

Some of the examples mentioned below will be conceptual in nature for understanding. Please refer to API Docs for more details.

Welcome to the Tutorials section! This section is inspired by the A-Z PyTorch tutorial, shoutout to our PyTorch friends that remember!

Tutorial Structure

This section currently is structured in 3 detailed parts:

1. Part 1: RL Fundamentals - Using TorchForge Terminology: This gives a quick refresher of Reinforcement Learning and teaches you TorchForge Fundamentals

2. Part 2: Peeling Back the Abstraction - What Are Services?: Goes a layer deeper and explains the internals of TorchForge

3. Part 3: The TorchForge-Monarch Connection: It’s a 101 to Monarch and how TorchForge Talks to Monarch

Each part builds upon the next and the entire section can be consumed in roughly an hour - Grab a Chai and Enjoy!

If you’re eager, please checkout our SFT Tutorial too (Coming soon!)!